Big Data for Educational Service Management

Santosh Kumar Ray, Mohammed M. Alani, Amir Ahmad

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

With over 3.7 billion people using the Internet in 2018, the amount of data being generated has exceeded 2.5 quintillion bytes per day. This rapid increase in the generation of data has pushed the applications of big data to new heights. Like any other field, education must also have its share of applications. Large amounts of data generated in the education sector can be harvested for useful information that can improve the delivery of education inside and outside of classroom. This chapter presents a survey of the state-of-the-art applications of big data analytics in the field of educational services. Educational services consist of all the tasks and subtasks that support the education process and help it achieve its goals. The utilization of big data is expected to increase the satisfaction of all stakeholders of a higher education institute. Educational services are not limited to teaching and learning processes in the classroom, rather they include efficient registration and administrative process, library services, research activities, extracurricular activities, and overall development of faculty and students. This chapter explains how big data can help in improving the overall education services. It also describes the challenges that institutions face while implementing big data-based solutions. Finally. This chapter suggests the possible directions for future research that can be explored to maximize the benefits of big data in improving educational services.

Original languageEnglish
Title of host publicationStudies in Big Data
PublisherSpringer Science and Business Media Deutschland GmbH
Pages139-161
Number of pages23
DOIs
Publication statusPublished - 2022

Publication series

NameStudies in Big Data
Volume98
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Engineering (miscellaneous)
  • Computer Science Applications
  • Artificial Intelligence

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